RbfCon: Construct Radial Basis Function Neural Networks with Grammatical Evolution by Ioannis G. Tsoulos, Ioannis Varvaras, Vasileios Charilogis

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Exact block encoding of imaginary time evolution with universal quantum neural networks by Ermal Rrapaj, Evan Rule

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Bridging Machine Learning and Cosmological Simulations: Using Neural Operators to emulate Chemical Evolution by Pelle van de Bor, John Brennan, John A. Regan, Jonathan Mackey

“…Neural Operators offer a mesh-free, data driven approach to approximate solutions to coupled ordinary differential equations governing chemical evolution, gas cooling, and heating. …”
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Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…This text proposes the incorporation of a three-stage evolutionary technique, which has roots in the differential evolution technique, for the effective training of the parameters of artificial neural networks and the avoidance of the problem of overfitting. …”
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Mean-reverting self-excitation drives evolution: phylogenetic analysis of a literary genre, waka, with a neural language model by Takuma Tanaka

“…Phylogenetic networks were constructed on the basis of the vector representation obtained using a neural language model. …”
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adm: An R package for constructing abundance‐based species distribution models by Admir Cesar deOliveira Junior, Santiago José Elías Velazco

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Physics-Informed Neural Networks: A Review of Methodological Evolution, Theoretical Foundations, and Interdisciplinary Frontiers Toward Next-Generation Scientific Computing by Zhiyuan Ren, Shijie Zhou, Dong Liu, Qihe Liu

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Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm by Jing Chen, Hao Jiang

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A Hybrid Neural Networks-Coevolution Genetic Algorithm for Multi Variables Robust Design Problem in Quality Engineering by محمد رضا مهرگان, علیرضا فراست

“…The proposed algorithm comprises neural networks (NNs) and co-evolution genetic algorithm (CGA) in which neural networks are as a function approximation tool used to estimate a map between process variables. …”
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Spatio-Temporal Evolution, Factors, and Enhancement Paths of Ecological Civilization Construction Effectiveness: Empirical Evidence Based on 48 Cities in the Yellow River Basin of... by Haifa Jia, Pengyu Liang, Xiang Chen, Jianxun Zhang, Wanmei Zhao, Shaowen Ma

“…This study employs the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Back-Propagation (BP) neural network methods to evaluate the level of ecological civilization construction in the Yellow River Basin from 2010 to 2022, to analyze its indicator weights, and to explore the spatio-temporal evolution characteristics of each city. …”
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Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions by Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, Ashkan Saradar, Sam E. Rigby, Amin Akhavan Tabassi

“…Using construction and demolition (C&D) waste in concrete production is a promising step toward environmental resilience amid the construction industry’s ecological footprint. …”
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A Rapid Cortical Learning Process Supporting Students’ Knowledge Construction During Real Classroom Teaching by Xiaodan Feng, Xinran Xu, Zhaonan Meng, Jiahao Jiang, Miao Pei, Yonghe Zheng, Chunming Lu

“…Abstract Classroom teaching is essential for cognitive development and cultural evolution, yet its neurocognitive mechanisms remain unclear. …”
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Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

“…To address these challenges, this study develops a deep learning model based on an adaptive moment estimation optimized convolutional long short-term memory neural network (Adam-ConvLSTM) to predict the evolution of rock fractures. …”
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Digital Industrial Design Method in Architectural Design by Machine Learning Optimization: Towards Sustainable Construction Practices of Geopolymer Concrete by Xiaoyan Wang, Yantao Zhong, Fei Zhu, Jiandong Huang

“…The construction industry’s evolution towards sustainability necessitates the adoption of environmentally friendly materials and practices. …”
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NSA-CHG: An Intelligent Prediction Framework for Real-Time TBM Parameter Optimization in Complex Geological Conditions by Youliang Chen, Wencan Guan, Rafig Azzam, Siyu Chen

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PoI+NBU: A Feasibility study in Generating High-Resolution Adversarial Images with a Black Box Evolutional Algorithm based Attack by Enea Mancellari, Ali Osman Topal, Franck Leprévost

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Problems and Prospects for the Application of Neural Networks for the Sphere of Education by T. M. Shamsutdinova

“…In order to study the possibilities and problems of applying neural network models to the tasks of constructing student adaptive learning trajectories, a model example of a neural network was created. …”
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Construction of GAN‐RES and Its Application to Small Sample Fusulinid Fossil Recognition by Jiahui Xu, Yang Lu, Xu Xu

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Multiple-Feature Construction for Image Segmentation Based on Genetic Programming by David Herrera-Sánchez, José-Antonio Fuentes-Tomás, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, José-Luis Morales-Reyes

“…Additionally, a co-evolution strategy is proposed within the evolution process to increase diversity without affecting segmentation performance. …”
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Attention-Based Hypergraph Neural Network: A Personalized Recommendation by Peihua Xu, Maoyuan Zhang

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